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Open nowPosted 41 days ago

Sr Data Engineer - 2

CloudThat83 open roles

Where
Ahmedabad
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Your applicationOpen nowSr Data Engineer - 2CloudThat · Ahmedabad

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on CloudThat's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. CloudThat postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 41 days ago

CloudThat median: 1 days open

The posting

About CloudThat:

At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have.

Role Overview:

· Design and implement data lakes and data warehouses using cloud platforms.

· Choose appropriate storage solutions (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage).

Key Responsibilities:

· Design cloud-native data/AI architecture

· Review and guide development on architectural patterns

· Ensure delivery alignment with business objectives

· Support client presentations and technical workshops

· Manage junior team members and mentor in solutioning

Skills & Qualifications:

· Hands-on experience with cloud solution design (AWS, Azure)

· Strong grasp of data lake, data warehouse, and AI patterns

· Experience in AI algorithm design and evaluation

· Excellent communication and leadership potential

· AWS Certified Solution Architect Professional

Education: Any bachelor's degree

Technical Competencies:

· Build and orchestrate ETL/ELT pipelines using cloud-native tools (One of them):

o AWS: Glue, Lambda, Step Functions

o Azure: Data Factory, Synapse Pipelines

o GCP: Dataflow, Cloud Composer

· Set up and manage cloud-based data warehouses (one of them):

o AWS Redshift

o Azure Synapse Analytics

o Google BigQuery

· Optimize performance, partitioning, and cost-efficiency.

· Implement real-time data pipelines using (one of them):

o AWS Kinesis, Azure Event Hubs, Google Pub/Sub

o Stream processing with Apache Kafka, Apache Flink, or Spark Structured

Infrastructure as Code (IaC)

· Use tools like Terraform, AWS CloudFormation, or Azure Bicep to provision and manage cloud resources.

Behavioural Competencies:

· Leadership and Mentoring

· Business Acumen

· Communication Skills

Core Value Competencies:

Innovativeness

Proprietorship

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